STATISTICAL INFERENCE FROM MULTIDISIPLINARY ACCIDENT INVESTIGATION
Multi-disciplinary accident investigation (MDAI) reports generated by more than twenty contractors have been compiled in digital form for analysis. Methods for drawing inferences regarding the relationship between crash severity and injury severity in the face of poorly defined samples are presented. The problems of determining accident and injury causation factors are discussed. Certain sub-sets of the MDAI data, particularly when considered with police-reported accident information from the same jurisdictions, can be used to estimate the frequency of occurrence of some phenomena of interest. Finally a plan is presented for a modification of the present MDAI program which should achieve both a statistically representative sample of accidents for a large portion of the United States and a capability to conduct special short term studies to answer specific questions.
Highway Safety Research InstituteHuron Parkway and Baxter Road
Ann Arbor, MI United States 48109
- O'Day, J
- Carlson, W L
- Douglass, R L
- Kaplan, R J
- Publication Date: 1974-8
- Features: Tables;
- Pagination: 237 p.
- TRT Terms: Crash causes; Crash injury research; Crash investigation; Crash rates; Crash severity; Digital computers; Multidisciplinary teams; Statistical sampling
- Uncontrolled Terms: Digital techniques
- Subject Areas: Data and Information Technology; Highways; Research; Safety and Human Factors;
- Accession Number: 00261758
- Record Type: Publication
- Source Agency: Highway Safety Research Institute
- Report/Paper Numbers: DOT-HS-801 111 Final Rpt.
- Contract Numbers: DOT-HS-031-2-350
- Files: TRIS
- Created Date: Nov 6 1990 12:00AM